Medievalism in English Canadian Literature
Bibliographic record
Abstract
First full-length investigation into Canadian literary medievalism as a discrete phenomenon. The essays in this volume consider what is original and distinctive about the manifestation of medievalism in Canadian literature and its origins and its subsequent growth and development: from the first novel published in Canadawritten by a Canadian-born author, Julia Beckwith Hart's St Ursula's Convent (1824), to the recent work of the best-selling novelist Patrick DeWitt ( Undermajordomo Minor , published in 2015). Topics addressed includethe strong strain of medievalist fantasy itself in the work of the young-adult author Kit Pearson, and the longer novels of Charles de Lint, Steven Erikson, and Guy Gavriel Kay; the medievalist inclinations of Archibald Lampman and W.W. Campbell, well-known nineteenth-century Canadian poets; and the often-studied Wacousta by John Richardson, first published in 1832. Chapters also cover early Canadian periodicals' engagement with orientalist medievalism; and works by twentieth-century writers such as the irrepressible Earle Birney, the witty and intellectual Robertson Davies, and the fascinating and learned Margaret Atwood. M.J. TOSWELL is a Professor at theUniversity of Western Ontario, ANNA CZARNOWUS is a Professor at the University of Silesia in Katowice. Contributors: D.M.R. Bentley, Agnieszka Klis-Brodowska, Anna Czarnowus, Brian Johnson, Laurel Ryan, David Watt, M.J. Toswell, Dominika Ruszkiewicz, Cory Rushton, Sylwia Borowska-Szerszun, Ewa Drab, and Michael Fox.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.020 | 0.011 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".